An approach to evaluate large-scale ICT training interventions

Silvana Rossy Brito (), Aleksandra Socorro da Silva (), Eulália Carvalho Mata (), Nandamudi Lankalapalli Vijaykumar (), Cláudio Alex Jorge Rocha (), Maurílio Abreu Monteiro (), João Crisóstomo Weyl Albuquerque Costa () and Carlos Renato Lisboa Francês ()
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Silvana Rossy Brito: Federal Rural University of Amazônia (UFRA)
Aleksandra Socorro da Silva: Federal Rural University of Amazônia (UFRA)
Eulália Carvalho Mata: Federal University of Pará (UFPA)
Nandamudi Lankalapalli Vijaykumar: National Institute for Space Research (INPE)
Cláudio Alex Jorge Rocha: Federal Institute of Education
Maurílio Abreu Monteiro: Federal University of Pará (UFPA)
João Crisóstomo Weyl Albuquerque Costa: Federal University of Pará (UFPA)
Carlos Renato Lisboa Francês: Federal University of Pará (UFPA)

Information Systems Frontiers, 2018, vol. 20, issue 4, No 14, 883-899

Abstract: Abstract Despite advances in the quality and availability of information and communication technologies (ICT), the level of access and skill in using these resources remains unequal. This is particularly evident in developing countries. To reduce the gap between these levels of ICT use, organizations (both public and private) invest in the expansion of infrastructure by providing ICT access and ICT training. In this study, we demonstrate that there is a gap in current approaches to monitor and evaluate large-scale ICT training interventions. Thus, we propose an approach based on social network analysis and data mining techniques, and apply it to an online training program conducted in different regions of Brazil. The results allow us to examine different aspects of the program, such as the region of participants, the institutions driving the intervention, local indicators of telecommunications infrastructure, and local socioeconomic conditions.

Keywords: Digital divide; Social network analysis; ICT intervention; Data mining; Developing countries; Telecentres (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10796-016-9705-3

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